Deep Learning-Based Instance Segmentation for Indoor Fire Load Recognition

Accurate fire load (combustible objects) information is crucial for safety design and resilience assessment of buildings. Traditional fire load acquisition methods, such as fire load survey, which are time-consuming, tedious, and error-prone, failed to adapt to dynamic changed indoor scenes. As a st...

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Bibliographic Details
Main Authors: Yu-Cheng Zhou, Zhen-Zhong Hu, Ke-Xiao Yan, Jia-Rui Lin
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Online Access:https://doaj.org/article/dd9e5e1f07ec4de3900d6d304d3d0d35
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